Boy Friends T-Shirt Paintings for Michael Pederson
Bibliographic record
Abstract
Over the past 25 years I have made an extended series of 'T-Shirt Paintings' in dozens of venues locations countries round the world in relation to various projects and contexts. They often engage in a dialogue with a particular site or timeframe. In this collection the author Michael Pederson invited me to make a series of T-Shirts for him and other collaborators to wear on the lengthy international launch tour for his most recent book Boy Friends and to publicise and celebrate the publication. In turn this project reflected on the themes at the core of the book, male friendship and the passion and drive of music, art and writing. \nThis series of T-Shirt Paintings have been circulated, displayed and worn as a 'live artwork' in Inverness, Aberdeen, Edinburgh, Glasgow, London, Liverpool, Manchester, Newcastle, Galway, Dublin, Belfast, Hull, Coventry, Newquay, Faversham, Cardiff, in fact all across Scotland, England, Wales, Ireland, Northern Ireland and many international locations, including: Paris, Budapest, Helsinki, Turku, Tallinn, Toronto, Montreal, New York, Chicago, Harvard, Philadelphia and (soon) Tokyo and Kyoto. \n \n"In 2018 poet and author Michael Pedersen lost a cherished friend, Scott Hutchison, soon after their collective voyage into the landscape of the Scottish Highlands. Just weeks later, Michael began to write to him. \nAs he confronts the bewildering process of grief, what starts as a love letter to one magical, coruscating human soon becomes a paean to all the gorgeous male friendships that have transformed his life. An intimate and original memoir of love, grief and male friendship by one of Scotland's brightest young talents"
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.097 | 0.040 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".